Resilience of airborne networks
|Title:||Resilience of airborne networks||Authors:||Ahmadi, Hamed; Fontanesi, Gianluca; Katzis, Konstantinos; Shakir, Muhammad Zeeshan; Zhu, Anding||Permanent link:||http://hdl.handle.net/10197/10898||Date:||12-Sep-2018||Online since:||2019-07-12T09:03:11Z||Abstract:||Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilience and reliability of these networks must be investigated. This paper introduces the specific features of airborne networks that influence their resilience. We then discuss how machine learning and blockchain technologies can enhance the resilience of networked flying platforms.||Type of material:||Conference Publication||Publisher:||IEEE||Volume:||2018-September||Start page:||1155||End page:||1156||Copyright (published version):||2018 IEEE||Keywords:||Networked flying platforms; Resilience; Self-organizing networks; Machine learning; Blockchain||DOI:||10.1109/PIMRC.2018.8580944||Other versions:||http://pimrc2018.ieee-pimrc.org/||Language:||en||Status of Item:||Not peer reviewed||Is part of:||2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)||Conference Details:||2018 IEEE: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Bologna, Italy 9-12 September 2018||ISBN:||9781538660096|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
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